SERTIFIKASI UJI KOMPETENSI SEBAGAI PENGAKUAN KESIAPAN BEKERJA LULUSAN GRAHA WISATA HOTEL SCHOOL SEMARANG
Bibliographic record
Abstract
<p>Tulisan ini membahas mengenai sertifikasi uji kompetensi sebagai pengakuan kesiapan bekerja lulusan Graha Wisata Hotel School Semarang. Sertifikasi Uji Kompetensi dilakukan bagi siswa Graha Wisata Hotel School sebelum mereka memasuki dunia kerja. Metode yang digunakan dalam tulisan ini adalah wawancara yang dilakukan terhadap lulusan, pengelola Lembagmna Kursus dan pengguna lulusan Bahan yang telah diperoleh melalui kajian literatur ini dikumpulkan, ditelaah kemudian dianalisis.<br />Hasil penelitian menunjukkan bahwa uji kompetensi diperlukan sebagai salah satu syarat diterima bekerja di dunia industri.Dari pelaksanaan uji kompetensi ini para siswa memperoleh sertifikat kompetensi yang dikeluarkan oleh Lembaga Sertifikasi dan Kompetensi berdasarkan uji kompetensi yang dilakukan oleh penguji dari LSK Perhotelan dan Kapal Pesiar Indonesia.</p>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.131 | 0.044 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".